Community nutrition programmes, globalization and sustainable development
Bibliographic record
Abstract
On an international scale, the last seventy-five years have been a period of deep social, economic and political transformation for the developing countries. They have been especially influenced by the international phenomenon of globalization, the benefits of which have been unequally distributed among countries. In this context, the strategies used to improve the general nutritional health of the population of developing countries include broad approaches integrating nutritional interventions in a context of sustainable community development, while valuing the existing relations between fields as diverse as agriculture, education, sociology, economy, health, environment, hygiene and nutrition. The community nutrition programmes are emblematic of these initiatives. Nevertheless, in spite of the increasing evidence of the potential possibilities offered by these programmes to improve the nutritional status and contribute to the development and the self-sufficiency of the community, their success is relatively limited, due to the inappropriate planning, implementation and evaluation of the programmes. In the present article, I attempt to emphasie the importance of community participation of the population of developing countries in the community nutrition programmes within the context of globalization. This process is not only an ethical imperative, but a pragmatic one. It is a crucial step in the process of liberation, democratization and equality that will lead to true sustainable development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".